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Management Mode Innovation and Path Selection of Digital Economy for Rural Industry Revitalization Based on Genetic Algorithm

By: Cheng Shao1
1College of Economics and Management, Jiangxi University of Technology, Nanchang, Jiangxi, 330098, China

Abstract

As a large agricultural country in China, the development of rural industry is a key part of realizing rural revitalization. The article takes 31 provinces (autonomous regions and municipalities directly under the central government) in China as the object of empirical research, and constructs the evaluation system of the level of development of digital countryside industry from four dimensions: digital countryside capital investment, information base, service base, and industrial development. Then, the model of this paper is used to empirically analyze the influencing factors of digital village industry development. Then, the kernel density estimation and other methods are used to assess the level of industrial development of digital villages, and the spatial and temporal characteristics of digital village development are analyzed in depth from the whole, the region, and the dimensions. Finally, based on the research conclusions and the actual situation, the enhancement path of rural industrial revitalization is proposed. From 2012 to 2024, the comprehensive level of China’s rural industrial development as a whole shows the evolutionary characteristics of rising, then declining, then fluctuating level. The development level of rural industrial revitalization has three major characteristics: significant regional differences, uneven development between coastal and inland, and positive correlation with the level of economic development.